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Academic Activities Curriculum Vitae (PDF)

Awards and Recognition

  • Autonomous Trauma Care Extends 'Golden Hour' for Saving Lives press
  • Oral Presentation at European Society of Intensive Care Medicine (2019) slides
  • Star Research Award and Oral Presentation at the Society of Critical Care Medicine (2018) slides
  • First Place at Future Energy Challenge (2009) press

Presentations and Invited Talks

  • SEMI Workshop: Enabling the Future of Electronics (2024) slides (pptx) slides (pdf) link
  • Trajectory Optimization for Thermally-Actuated Soft Planar Robot Limbs (2022) slides
  • Development and Evaluation of Data-Driven Models using High Frequency Time Series (T-32 training, 2018) slides
  • Learning Multi-granular Models of Physiology for Detection of Bleeding (CRISMA research review, 2017) slides

Teaching and Mentorship

  • RoboBuddies First-year Robotics PhD Mentor (Fall 2023-Spring 2025) Advised an incoming CMU robotics PhD student through their first two years.
  • Exchange Student Mentor (Fall 2023–Spring 2024) Advised an undergraduate exchange student and researcher.
  • Kinematics, Dynamics, and Controls (Spring 2023) Teaching assistant, CMU 16-711.
  • Advanced Robot Dynamics and Simulation (Fall 2022) Teaching assistant, CMU 16-715.
  • Engineering Materials for Soft Robotics (October 2022) Instructor for a hands-on middle school workshop.
  • Robotics Institute Summer Scholars (RISS) Mentor (Summer 2019, 2020) Advised four students across two cohorts.
  • AI4ALL Instructor (Summer 2018) Lectured on search algorithms and neural networks for under-represented high school students.
  • 3rd and 4th Grade Math Teacher (2013–2014) Peace Corps volunteer, Toussiana, Burkina Faso.
  • High School Computer Science Tutor (2010–2011)

Dissertation

  • Wertz, A. . (2025). Holistic soft material systems for advancing robotic and wearable sensing functionality. . doi

Books and Chapters

  • Wertz, A. . (2026). A practical guide to machine learning applications and software. Artificial intelligence and machine learning in healthcare , 1–16. doi

Patents

  • Zadan, M., Patel, D. K., Sabelhaus, A., Liao, J., Wertz, A., & Majidi, C. . (2025). Liquid crystal elastomer with integrated soft thermoelectrics for shape memory actuation and energy harvesting. .

Journal Articles

  • Wertz, A., Shah, D., & Majidi, C. . (2025). Soft transducers with notch filters for spatially-distributed strain sensing. IEEE Sensors Journal . doi preprint
  • Pinsky, M. R., Gomez, H., Wertz, A., Leonard, J., Dubrawski, A., & Poropatich, R. . (2024). Evaluation of a physiologic-driven closed-loop resuscitation algorithm in an animal model of hemorrhagic shock. Critical Care Medicine , 52 (12) , 1947–1957.
  • Zadan, M., Wertz, A., Shah, D., Patel, D. K., Zu, W., Han, Y., Gelorme, J., Mea, H. J., Yao, L., Malakooti, M. H., Ko, S. H., Kazem, N., & Majidi, C. . (2024). Stretchable thermoelectric generators for self-powered wearable health monitoring. Advanced functional materials . doi
  • Sabelhaus, A. P., Patterson, Z. J., Wertz, A. T., & Majidi, C. . (2024). Safe supervisory control of soft robot actuators. Soft Robotics . doi
  • Pinsky, M. R., Gomez, H., Guyette, F. X., Weiss, L., Dubrawski, A., Leonard, J., MacLachlan, R., Gordon, L., Lagattuta, T., Salcido, D., & others . (2024). Autonomous precision resuscitation during ground and air transport of an animal hemorrhagic shock model. Intensive Care Medicine Experimental , 12 (1) , 44.
  • Sabelhaus, A. P., Mehta, R. K., Wertz, A. T., & Majidi, C. . (2022). In-situ sensing and dynamics predictions for electrothermally-actuated soft robot limbs. Frontiers in Robotics and AI , 9 , 888261. doi
  • Zadan, M., Patel, D. K., Sabelhaus, A. P., Liao, J., Wertz, A., Yao, L., & Majidi, C. . (2022). Liquid crystal elastomer with integrated soft thermoelectrics for shape memory actuation and energy harvesting. Advanced Materials , 2200857. doi
  • Laird, P., Wertz, A., Welter, G., Maslove, D., Hamilton, A., Yoon, J. H., Lake, D. E., Zimmet, A. E., Bobko, R., Moorman, J. R., & others . (2021). The critical care data exchange format: a proposed flexible data standard for combining clinical and high-frequency physiologic data in critical care. Physiological Measurement . doi
  • Pinsky, M. R., Wertz, A., Clermont, G., & Dubrawski, A. . (2020). Parsimony of hemodynamic monitoring data sufficient for the detection of hemorrhage. Anesthesia & Analgesia , 130 (5) , 1176–1187. doi
  • Wertz, A., Holder, A. L., Guillame-Bert, M., Clermont, G., Dubrawski, A., & Pinsky, M. R. . (2019). Increasing cardiovascular data sampling frequency and referencing it to baseline improve hemorrhage detection. Critical Care Explorations , 1 (10) . doi
  • Gao, C., Falck, F., Goswami, M., Wertz, A., Pinsky, M. R., & Dubrawski, A. . (2019). Detecting patterns of physiological response to hemodynamic stress via unsupervised deep learning. CoRR , abs/1911.05121 .
  • Hravnak, M., Pellathy, T., Chen, L., Dubrawski, A., Wertz, A., Clermont, G., & Pinsky, M. R. . (2018). A call to alarms: Current state and future directions in the battle against alarm fatigue. Journal of electrocardiology , 51 (6) , S44–S48. doi
  • Tandon, P. . (2018). Bayesian aggregation of evidence for detection and characterization of patterns in multiple noisy observations. . doi
  • Gómez, H., Mesquida, J., Hermus, L., Polanco, P., Kim, H. K., Zenker, S., Torres, A., Namas, R., Vodovotz, Y., Clermont, G., & others . (2012). Physiologic responses to severe hemorrhagic shock and the genesis of cardiovascular collapse: can irreversibility be anticipated?. journal of surgical research , 178 (1) , 358–369. doi

Conference Proceedings

  • Padmanabha, A., Yuan, J., Mehta, T. S., Jenamani, R. K., Hu, E., León, V., Wertz, A., Gupta, J., Dodson, B., Yan, Y., & others . (2026). Waffle: a wearable approach to bite timing estimation in robot-assisted feeding. Proceedings of the 21st ACM/IEEE international conference on human-robot interaction , 78–87. doi
  • Pinsky, M., Gomez, H., Leonard, J., Wertz, A., Dubrawski, A., & Poropatich, R. . (2024). Evaluation of a physiological driven closed loop resuscitation algorithm. Critical Care Medicine (in-press) .
  • Wertz, A., Sabelhaus, A. P., & Majidi, C. . (2022). Trajectory optimization for thermally-actuated soft planar robot limbs. 2022 IEEE 5th international conference on soft robotics (RoboSoft) , 439–446. doi preprint slides
  • Potosnak, W., Dufendach, K. A., Wertz, A., Miller, K., Dubrawski, A., & Kilic, A. . (2021). Continuous intraoperative data analysis using machine learning reveals multiple parameters to predict post-CABG renal failure. The society of thoracic surgeons annual meeting . slides
  • Jeanselme, V., Wertz, A., Clermont, G., Pinsky, M., & Dubrawski, A. . (2020). Robustness of machine learning models for hemorrhage detection. What's new in non-pulmonary critical care? , A6320–A6320. doi
  • Jeanselme, V., Wertz, A., Clermont, G., Pinsky, M., & Dubrawski, A. . (2020). Cross-correlation features of vital signs enable robust detection of hemorrhage. .
  • Chen, L., Dubrawski, A., Clermont, G., Pellathy, T., Wertz, A., Yoon, J. H., Pinsky, M., & Hravnak, M. . (2019). Binarized severity level of future instability risk in continuously monitored patients. Critical Care Medicine , 47 (1) , 605. doi
  • Wertz, A., Clermont, G., Dubrawski, A., & Pinsky, M. . (2019). Hemodynamic monitoring parsimony: minimal information for rapid hemorrhage detection. Intensive Care Medicine Experimental , 7 , 91–92. doi slides
  • Wertz, A., Hravnak, M., Dubrawski, A., Chen, L., Pellathy, T., Clermont, G., & Pinsky, M. . (2018). Sufficient sampling frequency for machine learning to separate monitoring artifact from instability. Critical Care Medicine , 46 (1) , 19. doi slides
  • Chen, L., Dubrawski, A., Clermont, G., Pellathy, T., Wertz, A., Pinsky, M. R., & Hravnak, M. . (2018). Model based estimation of instability severity level in continuously monitored patients. Intensive Care Medicine Experimental , 6 , 59–60. doi
  • Liu, C., Gomez, H., Narasimhan, S., Dubrawski, A., Pinsky, M. R., & Zuckerbraun, B. . (2015). Real-time visual analysis of microvascular blood flow for critical care. 2015 IEEE conference on computer vision and pattern recognition (CVPR) , 2217-2225. doi

Robotics Institute Summer Scholars

  • Potosnak, W., Wertz, A., Miller, J. K., Kilic, A., Dufendach, K. A., & Dubrawski, A. . (2020). Cardiothoracic surgery analysis for predicting acute renal failure outcomes. CMU Robotics Institute Summer Scholars . preprint slides
  • Edwards, C., Wertz, A., & Dubrawski, A. . (2019). Using similarity measures to detect organizations in online escort advertisements. CMU Robotics Institute Summer Scholars . preprint slides

Genome Announcements

  • Pope, W. H., Berryman, E. N., Forrest, K. M., McHale, L., Wertz, A. T., Zhuang, Z., Kasturiarachi, N. S., Pressimone, C. A., Schiebel, J. G., Furbee, E. C., Grubb, S. R., Warner, M. H., Montgomery, M. T., Garlena, R. A., Russell, D. A., Jacobs-Sera, D., & Hatfull, G. F. . (2016). Genome sequence of gordonia phage BetterKatz. Microbiology Resource Announcements , 4 (4) . doi